arst-cagliari-it — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-01T13:38:13Z,
for the dataset file:///shared/arst-cagliari-it_0eb77ae6.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
ARST SpA - Trasporti Regionali Della Sardegna
Feed Email:
N/A
Feed Language:
Italian

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 321
  • Shapes: 2625
  • Stops: 3553
  • Trips: 6442

Specification Compliance report

26013 notices reported (20244 errors, 5698 warnings, 71 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 20244

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and different coordinates indicate an error.

You can see more about this notice here.

Only the first 50 of 20244 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"1471" 279859 0.0 2 279858 0.0 1 3.7671233793537913
"1471" 279860 0.0 3 279859 0.0 2 26.58204593747342
"1471" 279861 0.0 4 279860 0.0 3 6.76493736551919
"1471" 279862 0.0 5 279861 0.0 4 10.387778598944182
"1471" 279863 0.0 6 279862 0.0 5 101.87176986248838
"1471" 279864 0.0 7 279863 0.0 6 43.90253810808565
"1471" 279865 0.0 8 279864 0.0 7 68.24831275506321
"1471" 279866 0.0 9 279865 0.0 8 46.26683583520628
"1471" 279867 0.0 10 279866 0.0 9 32.50933066407431
"1471" 279868 0.0 11 279867 0.0 10 27.180452855100054
"1471" 279869 0.0 12 279868 0.0 11 94.47644155963799
"1471" 279870 0.0 13 279869 0.0 12 4.717055118007942
"1471" 279871 0.0 14 279870 0.0 13 10.699667875236422
"1471" 279872 0.0 15 279871 0.0 14 12.558278195043933
"1471" 279874 0.0 17 279873 0.0 16 32.13298056797332
"1471" 279875 0.0 18 279874 0.0 17 67.5785337555137
"1471" 279876 0.0 19 279875 0.0 18 475.15718395504723
"1471" 279877 0.0 20 279876 0.0 19 346.4470117112042
"1471" 279878 0.0 21 279877 0.0 20 481.81478165876763
"1471" 279879 0.0 22 279878 0.0 21 588.3765325579233
"1471" 279880 0.0 23 279879 0.0 22 16.03773481632914
"1471" 279881 0.0 24 279880 0.0 23 21.833958721236854
"1471" 279882 0.0 25 279881 0.0 24 3.858676394819422
"1471" 279883 0.0 26 279882 0.0 25 39.068125241898606
"1471" 279884 0.0 27 279883 0.0 26 80.30834761215753
"1471" 279885 0.0 28 279884 0.0 27 35.66119316296174
"1471" 279886 0.0 29 279885 0.0 28 196.19622565457493
"1471" 279887 0.0 30 279886 0.0 29 51.404910736030175
"1471" 279888 0.0 31 279887 0.0 30 209.1795916610943
"1471" 279889 0.0 32 279888 0.0 31 98.02835960227044
"1471" 279890 0.0 33 279889 0.0 32 74.8777849050423
"1471" 279891 0.0 34 279890 0.0 33 203.1898918907029
"1471" 279892 0.0 35 279891 0.0 34 122.64374927181689
"1471" 279893 0.0 36 279892 0.0 35 49.62400209396332
"1471" 279894 0.0 37 279893 0.0 36 62.46454324844666
"1471" 279895 0.0 38 279894 0.0 37 53.461698851741836
"1471" 279896 0.0 39 279895 0.0 38 56.16404291049062
"1471" 279897 0.0 40 279896 0.0 39 9.930600949639956
"1471" 279898 0.0 41 279897 0.0 40 67.14172292725229
"1471" 279899 0.0 42 279898 0.0 41 47.787035844263364
"1471" 279900 0.0 43 279899 0.0 42 41.821448905123276
"1471" 279901 0.0 44 279900 0.0 43 23.168784820936477
"1471" 279902 0.0 45 279901 0.0 44 43.7055890419097
"1471" 279903 0.0 46 279902 0.0 45 24.117457161275684
"1471" 279904 0.0 47 279903 0.0 46 27.125085845196423
"1471" 279905 0.0 48 279904 0.0 47 62.99625535530226
"1471" 279906 0.0 49 279905 0.0 48 22.603266252863058
"1471" 279907 0.0 50 279906 0.0 49 39.060453083807104
"1471" 279908 0.0 51 279907 0.0 50 42.686062425611404
"1471" 279909 0.0 52 279908 0.0 51 60.085267696279104
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 354

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 354 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"1471" 279873 0.0 16 279872 0.0 15 0.14010490357170716
"1475" 282730 0.0 12 282729 0.0 11 0.41927780380641827
"1475" 282762 0.0 44 282761 0.0 43 0.11119510161714974
"1475" 282983 0.0 265 282982 0.0 264 0.9106054028317804
"1493" 296773 0.0 149 296772 0.0 148 0.09870160145085224
"1493" 296921 0.0 297 296920 0.0 296 0.8299069325712634
"1493" 296922 0.0 298 296921 0.0 297 0.8299069325712634
"1493" 296964 0.0 340 296963 0.0 339 0.6846732043808745
"1493" 297001 0.0 377 297000 0.0 376 0.9080753387871152
"1493" 297002 0.0 378 297001 0.0 377 0.9080753387871152
"1493" 297054 0.0 430 297053 0.0 429 0.47479633707977176
"1493" 297076 0.0 452 297075 0.0 451 0.848537773704516
"1493" 297090 0.0 466 297089 0.0 465 0.3557176504973581
"1493" 297091 0.0 467 297090 0.0 466 0.3557176504973581
"1493" 297094 0.0 470 297093 0.0 469 0.9554460204995141
"1493" 297095 0.0 471 297094 0.0 470 0.9554460204995141
"1493" 297097 0.0 473 297096 0.0 472 0.1689465463143035
"1493" 297098 0.0 474 297097 0.0 473 0.1689465463143035
"1488" 293546 13.69 211 293545 13.69 210 0.8299069325712634
"1488" 293547 13.69 212 293546 13.69 211 0.8299069325712634
"1488" 293589 13.69 254 293588 13.69 253 0.6846732043808745
"1488" 293626 13.69 291 293625 13.69 290 0.9080753387871152
"1488" 293627 13.69 292 293626 13.69 291 0.9080753387871152
"1488" 293679 13.69 344 293678 13.69 343 0.47479633707977176
"1488" 293701 13.69 366 293700 13.69 365 0.848537773704516
"1488" 293715 13.69 380 293714 13.69 379 0.3557176504973581
"1488" 293716 13.69 381 293715 13.69 380 0.3557176504973581
"1488" 293719 13.69 384 293718 13.69 383 0.9554460204995141
"1488" 293720 13.69 385 293719 13.69 384 0.9554460204995141
"1488" 293722 13.69 387 293721 13.69 386 0.1689465463143035
"1488" 293723 13.69 388 293722 13.69 387 0.1689465463143035
"609" 1247636 0.0 32 1247635 0.0 31 0.27194326671698293
"609" 1247637 0.0 33 1247636 0.0 32 0.27194326671698293
"609" 1247704 0.0 100 1247703 0.0 99 0.42414471198718234
"619" 1252928 0.0 23 1252927 0.0 22 0.2792828364491375
"619" 1253211 0.0 306 1253210 0.0 305 0.2792828364491375
"619" 1253254 0.0 349 1253253 0.0 348 0.2792828364491375
"619" 1253405 0.0 500 1253404 0.0 499 0.18817791802936276
"2390" 862975 0.0 12 862974 0.0 11 0.8876549598820181
"2390" 863074 0.0 111 863073 0.0 110 0.44478040434662636
"2390" 863118 0.0 155 863117 0.0 154 0.5132040748429266
"2390" 863176 0.0 213 863175 0.0 212 0.27901695422068984
"2390" 863184 0.0 221 863183 0.0 220 0.3746767294486141
"2390" 863192 0.0 229 863191 0.0 228 0.6823678055002977
"2390" 863200 0.0 237 863199 0.0 236 0.3746767294486141
"2390" 863208 0.0 245 863207 0.0 244 0.27901695422068984
"674" 1289464 0.0 12 1289463 0.0 11 0.281688536930996
"694" 1301030 0.0 57 1301029 0.0 56 0.5623838712024232
"694" 1301031 0.0 58 1301030 0.0 57 0.5623838712024232
"694" 1301064 0.0 91 1301063 0.0 90 1.0893160127053905
equal_shape_distance_same_coordinates WARNING 639

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

Only the first 50 of 639 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"2307" 806442 1175.03 17 806441 1175.03 16
"1" 193 19102.87 192 192 19102.87 191
"1" 200 19533.32 199 199 19533.32 198
"1469" 278953 27652.23 319 278952 27652.23 318
"2" 621488 48633.58 439 621487 48633.58 438
"4" 1103129 36826.45 469 1103128 36826.45 468
"4" 1103161 41179.6 501 1103160 41179.6 500
"2312" 809484 47415.07 458 809483 47415.07 457
"2311" 808922 17499.94 275 808921 17499.94 274
"2319" 815962 77624.73 949 815961 77624.73 948
"2319" 815989 79477.7 976 815988 79477.7 975
"2318" 814926 39535.71 348 814925 39535.71 347
"1482" 288362 20559.04 468 288361 20559.04 467
"1482" 288423 24633.98 529 288422 24633.98 528
"1482" 288438 25169.33 544 288437 25169.33 543
"1479" 286065 23929.98 499 286064 23929.98 498
"1478" 285448 39535.71 348 285447 39535.71 347
"2342" 831317 68573.53 768 831316 68573.53 767
"2342" 831344 70426.49 795 831343 70426.49 794
"1489" 294093 39541.38 349 294092 39541.38 348
"1489" 294155 50204.47 411 294154 50204.47 410
"1487" 292675 39541.38 349 292674 39541.38 348
"1487" 292737 50204.47 411 292736 50204.47 410
"2351" 835978 22501.74 203 835977 22501.74 202
"2351" 835989 24107.54 214 835988 24107.54 213
"2349" 834073 7838.78 36 834072 7838.78 35
"2349" 834081 8851.83 44 834080 8851.83 43
"2360" 843658 13338.58 99 843657 13338.58 98
"2359" 842468 30398.27 197 842467 30398.27 196
"2359" 842475 30828.72 204 842474 30828.72 203
"1023" 8578 64458.73 592 8577 64458.73 591
"1023" 8605 66311.7 619 8604 66311.7 618
"608" 1246862 20821.84 434 1246861 20821.84 433
"2374" 854401 39529.76 349 854400 39529.76 348
"2374" 854468 51201.29 416 854467 51201.29 415
"1039" 14721 99837.06 665 14720 99837.06 664
"1038" 14007 14708.34 164 14006 14708.34 163
"1037" 13820 24015.46 592 13819 24015.46 591
"1037" 13824 24249.37 596 13823 24249.37 595
"2386" 860793 9230.95 91 860792 9230.95 90
"2383" 859217 11929.26 268 859216 11929.26 267
"2383" 859224 12359.71 275 859223 12359.71 274
"1051" 23204 48053.47 541 23203 48053.47 540
"1051" 23231 49906.44 568 23230 49906.44 567
"623" 1255228 5524.7 36 1255227 5524.7 35
"2393" 864591 8722.09 47 864590 8722.09 46
"2392" 863802 4519.03 60 863801 4519.03 59
"1058" 24611 5780.16 74 24610 5780.16 73
"2389" 862354 671.55 10 862353 671.55 9
"2389" 862361 1102.0 17 862360 1102.0 16
expired_calendar WARNING 4

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
21 "GIAM"
31 "GISA"
47 "SAFE"
48 "SAFT"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 2

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
mixed_case_recommended_field WARNING 4559

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

Only the first 50 of 4559 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"routes.txt" "route_long_name" "CAGLIARI - VILLASIMIUS - COSTA REI - S.VITO" 2
"routes.txt" "route_long_name" "ESCALAPLANO - BALLAO - MURAVERA - COLOSTRAI" 3
"routes.txt" "route_long_name" "VILLAGRANDE - LANUSEI - TORTOLI - IERZU - TERTENIA - MURAVERA - CAGLIARI" 4
"routes.txt" "route_long_name" "SUELLI - SENORBI' - SILIUS - ARMUNGIA - VILLASALTO - S.VITO - MURAVERA - COLOSTRAI" 5
"routes.txt" "route_long_name" "BURCEI - S.GREGORIO - QUARTU S.ELENA - CAGLIARI" 6
"routes.txt" "route_long_name" "CAGLIARI - QUARTU - MARA - SINNAI - SETTIMO - CAGLIARI" 7
"routes.txt" "route_long_name" "PERDASDEFOGU - BALLAO - ARMUNGIA - SILIUS - S.ANDREA FRIUS - CAGLIARI" 8
"routes.txt" "route_long_name" "USSANA - SESTU - OSPEDALE BROTZU - CAGLIARI" 9
"routes.txt" "route_long_name" "USSANA - SESTU - CAGLIARI" 10
"routes.txt" "route_long_name" "CAGLIARI - S.SPERATE - MONASTIR" 11
"routes.txt" "route_long_name" "CAGLIARI - S.SPERATE - DECIMOMANNU" 12
"routes.txt" "route_long_name" "CAGLIARI - MONASTIR - USSANA" 13
"routes.txt" "route_long_name" "CAGLIARI - NURAMINIS - PIMENTEL - SENORBI' - GUASILA - VILLANOVAFRANCA" 14
"routes.txt" "route_long_name" "SESTU - SETTIMO - SINNAI - POETTO" 15
"routes.txt" "route_long_name" "MONSERRATO POLICLINICO-SESTU SAN GEMILIANO-MONSERRATO POLICLINICO" 16
"routes.txt" "route_long_name" "VILLAMAR - SERRENTI - MONASTIR - CAGLIARI" 17
"routes.txt" "route_long_name" "CAGLIARI - QUARTU - PITZ'E SERRA - MARA - SINNAI - SETTIMO - POLICLINICO UNIV. - CAGLIARI" 18
"routes.txt" "route_long_name" "TUILI - PAULI ARBAREI - SARDARA - SANLURI - CAGLIARI" 19
"routes.txt" "route_long_name" "ALES - SANLURI - CAGLIARI" 20
"routes.txt" "route_long_name" "ALES - MORGONGIORI - GONNOSTRAMATZA - MOGORO - SANLURI - CAGLIARI" 21
"routes.txt" "route_long_name" "VILLASOR - SAN SPERATE - SESTU - CITTA' UNIVERSITARIA - MONSERRATO - CAGLIARI" 22
"routes.txt" "route_long_name" "VALLERMOSA - UTA - CAGLIARI" 23
"routes.txt" "route_long_name" "MONASTIR - USSANA - SESTU - MONSERRATO - PIRRI - SELARGIUS" 24
"routes.txt" "route_long_name" "VILLAMAR - SEGARIU - SANLURI - CAGLIARI" 25
"routes.txt" "route_long_name" "CHIA BAIA - TUARREDDA - MALFATANO - CAMPIONNA - TRAMATZU - TEULADA - VIA LITORANEA" 26
"routes.txt" "route_long_name" "CAGLIARI - RESIDENZA DEL SOLE - CAPOTERRA" 27
"routes.txt" "route_long_name" "CAGLIARI - SENORBI' - SELEGAS - SANLURI - S. GAVINO - GUSPINI" 28
"routes.txt" "route_long_name" "DOMUSDEMARIA - PULA - VILLA S.PIETRO - SARROCH - CAGLIARI IST. SCOLASTICI" 29
"routes.txt" "route_long_name" "CAGLIARI - PULA PARCO SCIENTIFICO E TECNOLOGICO" 30
"routes.txt" "route_long_name" "CAGLIARI - VILLASIMIUS - COSTA REY - S.VITO" 31
"routes.txt" "route_long_name" "PULA - PORTO COLUMBU - CAGLIARI" 32
"routes.txt" "route_long_name" "PULA - VILLA S.PIETRO - SARROCH - CAPOTERRA" 33
"routes.txt" "route_long_name" "CAGLIARI - AEROPORTO ELMAS" 34
"routes.txt" "route_long_name" "SANLURI - GUSPINI - ARBUS - FLUMINIMAGGIORE" 35
"routes.txt" "route_long_name" "VILLACIDRO - GUSPINI - ARBUS - MONTEVECCHIO - COSTA VERDE" 36
"routes.txt" "route_long_name" "VILLACIDRO - ARBUS - GUSPINI - ARBOREA - ORISTANO" 37
"routes.txt" "route_long_name" "PABILLONIS - ARBUS - GUSPINI - VILLACIDRO - DECIMOMANNU - CAGLIARI" 38
"routes.txt" "route_long_name" "MONTEVECCHIO - S.GAVINO - GUSPINI - CAGLIARI" 39
"routes.txt" "route_long_name" "GUSPINI - ARBUS - VILLACIDRO - SERRAMANNA - VILLASOR - Z.I. MACCHIAREDDU" 40
"routes.txt" "route_long_name" "S. GAVINO - SARDARA - SANLURI - SAMASSI - VILLASOR - Z.I. SARROCH" 41
"routes.txt" "route_long_name" "GUSPINI - PABILLONIS - SARDARA - SANLURI - CAGLIARI" 42
"routes.txt" "route_long_name" "ARBUS - GONNOSFANADIGA - VILLACIDRO - TURRIGHEDDA" 43
"routes.txt" "route_long_name" "GUSPINI - S.GAVINO - SANLURI - SAMASSI - VILLACIDRO - GUSPINI" 44
"routes.txt" "route_long_name" "BAUNEI - ARDALI - TRIEI - S.M.NAVARRESE - TORTOLI' - LANUSEI" 45
"routes.txt" "route_long_name" "NUORO - LANUSEI - BARISARDO - TORTOLI'" 46
"routes.txt" "route_long_name" "ARBATAX - TORTOLI' - BAUNEI - DORGALI - NUORO" 47
"routes.txt" "route_long_name" "C.GIUSTIZIERI - URZULEI - TALANA - TORTOLI' - ARBATAX" 48
"routes.txt" "route_long_name" "LANUSEI - CARDEDU - TERTENIA - PERDASDEFOGU" 49
"routes.txt" "route_long_name" "CIRCOLARE DESTRA" 50
"routes.txt" "route_long_name" "CIRCOLARE SINISTRA" 51
route_long_name_contains_short_name WARNING 1

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"513" 110 "Linea 513" "Linea 513"
route_short_name_too_long WARNING 8

route_short_name_too_long

Short name of a route is too long (more than 12 characters).

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`.
"9371" 306 "Linea 1 - A.F."
"9372" 307 "Linea 2 - A.P."
"9373" 308 "Linea 3 - AL.F.A."
"9374" 309 "Linea 4 - A.C."
"TCA" 319 "Linea MONSERRATO-ISILI"
"TMA" 320 "Linea MACOMER-NUORO"
"TSS1" 321 "Linea SASSARI-ALGHERO"
"TSS2" 322 "Linea SASSARI-SORSO"
service_has_no_active_day_of_the_week WARNING 83

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

Only the first 50 of 83 affected records are displayed below.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
2 "FE10"
3 "FENS"
4 "FER"
5 "FER2"
6 "FER6"
7 "FER8"
8 "FERA"
9 "FERC"
10 "FERE"
11 "FERI"
12 "FES2"
13 "FES6"
14 "FES8"
15 "FESE"
16 "FESI"
17 "FEST"
18 "FNOL"
19 "FNSC"
20 "FNSI"
21 "GIAM"
22 "GIFE"
23 "GIO"
24 "GIO2"
25 "GIO4"
26 "GIO6"
27 "GIO8"
28 "GIOE"
29 "GIOI"
30 "GIOV"
31 "GISA"
32 "GNOL"
33 "LMMGS"
34 "LSSC"
35 "LUN"
36 "NOVA"
37 "NOVB"
38 "PEN3"
39 "PEN9"
40 "PENT"
41 "PNSC"
43 "PSCO"
44 "SAB"
45 "SABE"
46 "SABI"
47 "SAFE"
48 "SAFT"
49 "SASC"
50 "SCEG"
51 "SCGI"
52 "SCLM"
stop_too_far_from_shape WARNING 2

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
5762 "BSS_A" "BSS_1" 101328 "M_8103" "Via delle Conce n. 33 (fermata ATP)" [40.724915,8.552255999999998] 198.2718310164417
5763 "BSS_R" "BSS_10" 101335 "M_8004" "Viale Italia Pronto Soccorso (fermata ATP)" [40.720295,8.557644999999999] 354.6408338639162
stop_without_stop_time WARNING 5

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
41 "B_10153" "SS 125 CORONGIU - SERRE"
603 "B_1438" "DECIMOMANNU FR. VILLAGGIO AZZURRO"
614 "B_1450" "DECIMOMANNU VILLAGGIO AZZURRO"
2425 "B_5198" "GENNA SELOLE"
2966 "B_7165" "MARRITZA"
unused_shape WARNING 40

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"1010" 3493
"1013" 3927
"1064" 27294
"1066" 27523
"1136" 71039
"1535" 329506
"1554" 344424
"1681" 425216
"1688" 427504
"1709" 437961
"1734" 451454
"1780" 480568
"1788" 483899
"1821" 505650
"1860" 526347
"1903" 552057
"1969" 600936
"1984" 609841
"2014" 630837
"2023" 638128
"2059" 659878
"2077" 672150
"2115" 695393
"2144" 710151
"2228" 755944
"2333" 824304
"2385" 860364
"509" 1179272
"547" 1202091
"663" 1283144
"741" 1323250
"751" 1328081
"788" 1344170
"881" 1388055
"898" 1394035
"911" 1400055
"917" 1402014
"918" 1402116
"921" 1403276
"949" 1413829
big_gap_in_service INFO 70

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

Only the first 50 of 70 affected records are displayed below.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"FE10" "2026-06-30" "2026-09-01" 62
"FENS" "2026-01-05" "2026-02-17" 42
"FENS" "2026-02-17" "2026-04-02" 43
"FENS" "2026-04-07" "2026-04-28" 20
"FENS" "2026-04-28" "2026-06-09" 41
"FENS" "2026-06-30" "2026-09-01" 62
"FENS" "2026-09-12" "2026-11-02" 50
"FENS" "2026-11-02" "2026-12-23" 50
"FER6" "2026-03-31" "2026-10-01" 183
"FER8" "2026-05-30" "2026-10-01" 123
"FERC" "2026-04-11" "2026-12-21" 253
"FERI" "2026-06-15" "2026-09-16" 92
"FES6" "2026-03-29" "2026-10-04" 188
"FES8" "2026-05-31" "2026-10-04" 125
"FESI" "2026-06-14" "2026-09-20" 97
"FNOL" "2026-06-13" "2026-09-16" 94
"FNSC" "2026-01-05" "2026-02-17" 42
"FNSC" "2026-02-17" "2026-04-02" 43
"FNSC" "2026-04-07" "2026-04-28" 20
"FNSC" "2026-04-28" "2026-06-09" 41
"FNSC" "2026-09-12" "2026-11-02" 50
"FNSC" "2026-11-02" "2026-12-23" 50
"FNSI" "2026-01-05" "2026-02-17" 42
"FNSI" "2026-02-17" "2026-04-02" 43
"FNSI" "2026-04-07" "2026-04-28" 20
"FNSI" "2026-04-28" "2026-06-09" 41
"FNSI" "2026-06-15" "2026-11-02" 139
"FNSI" "2026-11-02" "2026-12-23" 50
"GIO8" "2026-05-31" "2026-10-01" 122
"GIOI" "2026-06-15" "2026-09-16" 92
"GNOL" "2026-06-14" "2026-09-16" 93
"LSSC" "2026-06-08" "2026-09-14" 97
"PEN9" "2026-06-15" "2026-09-16" 92
"PNSC" "2026-01-05" "2026-02-17" 42
"PNSC" "2026-02-17" "2026-04-02" 43
"PNSC" "2026-04-07" "2026-04-28" 20
"PNSC" "2026-04-28" "2026-06-09" 41
"PNSC" "2026-09-11" "2026-11-02" 51
"PNSC" "2026-11-02" "2026-12-23" 50
"PSCO" "2026-06-08" "2026-09-14" 97
"SABI" "2026-06-13" "2026-09-19" 97
"SASC" "2026-06-06" "2026-09-19" 104
"SCEG" "2026-06-08" "2026-09-14" 97
"SCGI" "2026-06-04" "2026-09-17" 104
"SCLM" "2026-06-08" "2026-09-14" 97
"SCLU" "2026-06-08" "2026-09-14" 97
"SCMA" "2026-05-26" "2026-09-15" 111
"SCME" "2026-06-03" "2026-09-16" 104
"SCMV" "2026-06-05" "2026-09-15" 101
"SCO" "2026-06-08" "2026-09-14" 97
unknown_column INFO 1

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"calendar.txt" "service_description" 11